대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1996년도 추계학술대회 논문집 학회본부
- /
- Pages.294-296
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- 1996
퍼지 기법을 이용한 열화된 영상에서의 에지 검출
Edge Detection in Blurred and Noisy Image Using Fuzzy Method
- 정재우 (연세대학교 전기공학과) ;
-
정태윤
(삼성전자)
;
- 정진양 (포항제철) ;
- 허재만 (연세대학교 심혈관연구소) ;
- 한영호 (남서울대학교 전자공학과) ;
- 박상희 (연세대학교 전기공학과)
- Jung, Jae-Woo (Dept. of Electrical Eng., Yonsei Univ.) ;
-
Chung, Tae-Yun
(Samsung Electronics)
;
- Jung, Jin-Yang (POSCO) ;
- Huh, Jae-Man (Cardiac Vascular Center, Yonsei Univ.) ;
- Han, Young-Oh (Dept. of Electronics Eng., Southern Seoul Univ.) ;
- Park, Sang-Hui (Dept. of Electrical Eng., Yonsei Univ.)
- 발행 : 1996.11.16
초록
The process of detecting edge in an image is an important component of many Pattern Recognition and Computer Vision applications. In many practical cases, there exist blurred images due to defocussing, movement of an object and so on. In addition, local perturbation noise can be added to the images. We propose the edge detection technique in blurred and noisy image. For this, we use Fuzzy pyramid linking mothod to remove noise and enhance the edge in images. We develop contrast intensifier using the concept of Fuzzy sets as a postprocessing.
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